Geographic distance to Commission on Cancer-accredited and nonaccredited hospitals in the United States.

PURPOSE: The Commission on Cancer (CoC) establishes standards to support multidisciplinary, comprehensive cancer care. CoC-accredited cancer programs diagnose and/or treat 73% of patients in the United States. However, rural patients may experience diminished access to CoC-accredited cancer programs. Our study evaluated distance to hospitals by CoC accreditation status, rurality, and Census Division. METHODS: All US hospitals were identified from public-use Homeland Infrastructure Foundation-Level Data, then merged with CoC-accreditation data. Rural-Urban Continuum Codes (RUCC) were used to categorize counties as metro (RUCC 1-3), large rural (RUCC 4-6), or small rural (RUCC 7-9). Distance from each county centroid to the nearest CoC and non-CoC hospital was calculated using the Great Circle Distance method in ArcGIS. FINDINGS: Of 1,382 CoC-accredited hospitals, 89% were in metro counties. Small rural counties contained a total of 30 CoC and 794 non-CoC hospitals. CoC hospitals were located 4.0, 10.1, and 11.5 times farther away than non-CoC hospitals for residents of metro, large rural, and small rural counties, respectively, while the average distance to non-CoC hospitals was similar across groups (9.4-13.6 miles). Distance to CoC-accredited facilities was greatest west of the Mississippi River, in particular the Mountain Division (99.2 miles). CONCLUSIONS: Despite similar proximity to non-CoC hospitals across groups, CoC hospitals are located farther from large and small rural counties than metro counties, suggesting rural patients have diminished access to multidisciplinary, comprehensive cancer care afforded by CoC-accredited hospitals. Addressing distance-based access barriers to high-quality, comprehensive cancer treatment in rural US communities will require a multisectoral approach.

Rural comprehensive cancer care: Qualitative analysis of current challenges and opportunities.

PURPOSE: While limited resources can make high-quality, comprehensive, coordinated cancer care provision challenging in rural settings, rural cancer patients often rely on local hospitals for care. To develop resources and strategies to support high-quality local cancer care, it is critical to understand the current experiences of rural cancer care physicians, including perceived strengths and challenges of providing cancer care in rural areas.  METHODS: Semi-structured interviews were conducted with 13 cancer providers associated with all 12 non-metropolitan/rural Iowa hospitals that diagnose or treat >100 cancer patients annually. Iterative thematic analysis was conducted to develop domains. FINDINGS: Participants identified geographic proximity and sense of community as strengths of local care. They described decision-making processes and challenges related to referring patients to larger centers for complex procedures, including a lack of dedicated navigators to facilitate and track transfers between institutions and occasional lack of respect from academic physicians. Participants reported a desire for strengthening collaborations with larger urban/academic cancer centers, including access to educational opportunities, shared resources and strategies to collect and monitor data on quality, and clinical trials. CONCLUSIONS: Rural cancer care providers are dedicated to providing high-quality care close to home for their patients and would welcome opportunities to increase collaboration with larger centers to improve coordination and comprehensiveness of care, collect and monitor data on quality of care, and access continuing education opportunities. Further research is needed to develop implementation approaches that will extend resources, services, and expertise to rural providers to facilitate high-quality cancer care for all cancer patients.

Differential response to neoadjuvant endocrine therapy for Black/African American and White women in NCDB.

PURPOSE: Compared to White women, there are higher mortality rates in Black/African American (BAA) women with hormone receptor-positive breast cancer (HR + BC) which may be partially due to differences in treatment resistance. We assessed factors associated with response to neoadjuvant endocrine therapy (NET). METHODS: The National Cancer Database (NCDB) was queried for women with clinical stage I-III HR + BC diagnosed 2006-2017 and treated with NET. Univariate and multivariate analyses described associations between the sample, duration of NET, and subsequent treatment response, defined by changes between clinical and pathological staging. RESULTS: The analytic sample included 9864 White and 1090 BAA women. Compared to White women, BAA women were younger, had more co-morbidities, were higher stage at presentation, and more likely to have > 24 weeks of NET. After excluding those with unknown pT/N/M, 3521 White and 365 BAA women were evaluated for NET response. On multivariate analyses, controlling for age, stage, histology, HR positivity, and duration of NET, BAA women were more likely to downstage to pT0/Tis (OR 3.0, CI 1.2-7.1) and upstage to Stage IV (OR 2.4, CI 1.002-5.6). None of the women downstaged to pT0/Tis presented with clinical stage III disease; only 2 of the women upstaged to Stage IV disease presented with clinical Stage I disease. CONCLUSION: Independent of NET duration and clinical stage at presentation, BAA women were more likely to experience both complete tumor response and progression to metastatic disease. These results suggest significant heterogeneity in tumor biology and warrant a more nuanced therapeutic approach to HR + BC.

Adherence to Annual Lung Cancer Screening in a Centralized Academic Program.

BACKGROUND: Adherence to lung cancer screening (LCS) protocols is critical for achieving mortality reductions. However, adherence rates, particularly for recommended annual screening among patients with low-risk findings, are often sub-optimal. We evaluated annual LCS adherence for patients with low-risk findings participating in a centralized screening program at a tertiary academic center. PATIENTS AND METHODS: We conducted a retrospective, observational cohort study of a centralized lung cancer screening program launched in July 2018. We performed electronic medical review of 337 patients who underwent low-dose CT (LDCT) screening before February 1, 2021 (to ensure ≥ 15 months follow up) and had a low-risk Lung-RADS score of 1 or 2. Captured data included patient characteristics (smoking history, Fagerstrom score, environmental exposures, lung cancer risk score), LDCT imaging dates, and Lung-RADS results. The primary outcome measure was adherence to annual screening. We used multivariable logistic regression models to identify factors associated with adherence. RESULTS: Overall, 337 patients had an initial Lung-RADS result of 1 (n = 189) or 2 (n = 148). Among this cohort, 139 (73.5%) of Lung-RADS 1 and 111 (75.0%) of Lung-RADS 2 patients completed the annual repeat LDCT within 15 months, respectively. The only patient characteristic associated with adherence was having Medicaid coverage; compared to having private insurance, Medicaid patients were less adherent (adjusted OR = 0.37, 95% CI = 0.15-0.92). No other patient characteristic was associated with adherence. CONCLUSION: Our centralized screening program achieved a high initial annual adherence rate. Although LCS has first-dollar insurance coverage, other socioeconomic concerns may present barriers to annual screening for Medicaid recipients.

An implementation science approach to the systematic study of access to gynecologic cancer care.

INTRODUCTION: Barriers to access to cancer care are profoundly threatening to patients with gynecologic malignancies. Implementation science focuses on empirical investigation of factors influencing delivery of clinical best practices, as well as interventions designed to improve delivery of evidence-based care. We outline one prominent framework for conducting implementation research and discuss its application to improving access to gynecologic cancer care. METHODS: Literature on the use of the Consolidated Framework for Implementation Research (CFIR) was reviewed. Delivery of cytoreductive surgery for advanced ovarian carcinoma was selected as an illustrative case of an evidence-based intervention (EBI) in gynecologic oncology. CFIR domains were applied to the context of cytoreductive surgical care, highlighting examples of empirically-assessable determinants of care delivery. RESULTS: CFIR domains include Innovation, Inner Setting, Outer Setting, Individuals, and Implementation Process. "Innovation" relates to characteristics of the surgical intervention itself; "Inner Setting" relates to the environment in which surgery is delivered. "Outer Setting" refers to the broader care environment influencing the Inner Setting. "Individuals" highlights attributes of persons directly involved in care delivery, and "Implementation Process" focuses on integration of the Innovation within the Inner Setting. CONCLUSIONS: Prioritization of implementation science methods in the study of access to gynecologic cancer care will help ensure that patients are able to utilize interventions with the greatest prospect of benefiting them.

Generating Practice-Based Evidence in the Use of Guideline-Recommended Combination Therapy for Secondary Prevention of Acute Myocardial Infarction.

Background: Clinical guidelines recommend beta-blockers, angiotensin-converting enzyme inhibitors/angiotensin-receptor blockers, and statins for the secondary prevention of acute myocardial infarction (AMI). It is not clear whether variation in real-world practice reflects poor quality-of-care or a balance of outcome tradeoffs across patients. Methods: The study cohort included Medicare fee-for-service beneficiaries hospitalized 2007-2008 for AMI. Treatment within 30-days post-discharge was grouped into one of eight possible combinations for the three drug classes. Outcomes included one-year overall survival, one-year cardiovascular-event-free survival, and 90-day adverse events. Treatment effects were estimated using an Instrumental Variables (IV) approach with instruments based on measures of local-area practice style. Pre-specified data elements were abstracted from hospital medical records for a stratified, random sample to create "unmeasured confounders" (per claims data) and assess model assumptions. Results: Each drug combination was observed in the final sample (N = 124,695), with 35.7% having all three, and 13.5% having none. Higher rates of guideline-recommended treatment were associated with both better survival and more adverse events. Unmeasured confounders were not associated with instrumental variable values. Conclusions: The results from this study suggest that providers consider both treatment benefits and harms in patients with AMIs. The investigation of estimator assumptions support the validity of the estimates.

Identifying Core Functions of an Evidence-Based Intervention to Improve Cancer Care Quality in Rural Hospitals.

Background: Rural patients experience worse cancer survival outcomes than urban patients despite similar incidence rates, due in part to significant barriers to accessing quality cancer care. Community hospitals in non-metropolitan/rural areas play a crucial role in providing care to patients who desire and are able to receive care locally. However, rural community hospitals typically face challenges to providing comprehensive care due to lack of resources. The University of Kentucky's Markey Cancer Center Affiliate Network (MCCAN) is an effective complex, multi-level intervention, improving cancer care in rural/under-resourced hospitals by supporting them in achieving American College of Surgeons Commission on Cancer (CoC) standards. With the long-term goal of adapting MCCAN for other rural contexts, we aimed to identify MCCAN's core functions (i.e., the components key to the intervention's effectiveness/implementation) using theory-driven qualitative data research methods. Methods: We conducted eight semi-structured virtual interviews with administrators, coordinators, clinicians, and certified tumor registrars from five MCCAN affiliate hospitals that were not CoC-accredited prior to joining MCCAN. Study team members coded interview transcripts and identified themes related to how MCCAN engaged affiliate sites in improving care quality (intervention functions) and implementing CoC standards (implementation functions) and analyzed themes to identify core functions. We then mapped core functions onto existing theories of change and presented the functions to MCCAN leadership to confirm validity and completeness of the functions. Results: Intervention core functions included: providing expertise and templates for achieving accreditation, establishing a culture of quality-improvement among affiliates, and fostering a shared goal of quality care. Implementation core functions included: fostering a sense of community and partnership, building trust between affiliates and Markey, providing information and resources to increase feasibility and acceptability of meeting CoC standards, and mentoring and empowering administrators and clinicians to champion implementation. Conclusion: The MCCAN intervention presents a more equitable strategy of extending the resources and expertise of large cancer centers to assist smaller community hospitals in achieving evidence-based standards for cancer care. Using rigorous qualitative methods, we distilled this intervention into its core functions, positioning us (and others) to adapt the MCCAN intervention to address cancer disparities in other rural contexts.

The Impact of Commission on Cancer Accreditation Status, Hospital Rurality and Hospital Size on Quality Measure Performance Rates.

BACKGROUND: Rural cancer patients receive lower-quality care and experience worse outcomes than urban patients. Commission on Cancer (CoC) accreditation requires hospitals to monitor performance on evidence-based quality measuresPlease confirm the list of authors is correc, but the impact of accreditation is not clear due to lack of data from non-accredited facilities and confounding between patient rurality and hospital accreditation, rurality, and size. METHODS: This retrospective, observational study assessed associations between rurality, accreditation, size, and performance rates for four CoC quality measures (breast radiation, breast chemotherapy, colon chemotherapy, colon nodal yield). Iowa Cancer Registry data were queried to identify all eligible patients diagnosed between 2011 and 2017. Cases were assigned to the surgery hospital to calculate performance rates. Univariate and multivariate regression models were fitted to identify patient- and hospital-level predictors and assess trends. RESULTS: The study cohort included 10,381 patients; 46% were rural. Compared with urban patients, rural patients more often received treatment at small, rural, and non-accredited facilities (p < 0.001 for all). Rural hospitals had fewer beds and were far less likely to be CoC-accredited than urban hospitals (p < 0.001 for all). On multivariate analysis, CoC accreditation was the strongest, independent predictor of higher hospital performance for all quality measures evaluated (p < 0.05 in each model). Performance rates significantly improved over time only for the colon nodal yield quality measure, and only in urban hospitals. CONCLUSIONS: CoC accreditation requires monitoring and evaluating performance on quality measures, which likely contributes to better performance on these measures. Efforts to support rural hospital accreditation may improve existing disparities in rural cancer treatment and outcomes.

Enhancing PCORnet Clinical Research Network data completeness by integrating multistate insurance claims with electronic health records in a cloud environment aligned with CMS security and privacy requirements.

OBJECTIVE: The Greater Plains Collaborative (GPC) and other PCORnet Clinical Data Research Networks capture healthcare utilization within their health systems. Here, we describe a reusable environment (GPC Reusable Observable Unified Study Environment [GROUSE]) that integrates hospital and electronic health records (EHRs) data with state-wide Medicare and Medicaid claims and assess how claims and clinical data complement each other to identify obesity and related comorbidities in a patient sample. MATERIALS AND METHODS: EHR, billing, and tumor registry data from 7 healthcare systems were integrated with Center for Medicare (2011-2016) and Medicaid (2011-2012) services insurance claims to create deidentified databases in Informatics for Integrating Biology & the Bedside and PCORnet Common Data Model formats. We describe technical details of how this federally compliant, cloud-based data environment was built. As a use case, trends in obesity rates for different age groups are reported, along with the relative contribution of claims and EHR data-to-data completeness and detecting common comorbidities. RESULTS: GROUSE contained 73 billion observations from 24 million unique patients (12.9 million Medicare; 13.9 million Medicaid; 6.6 million GPC patients) with 1 674 134 patients crosswalked and 983 450 patients with body mass index (BMI) linked to claims. Diagnosis codes from EHR and claims sources underreport obesity by 2.56 times compared with body mass index measures. However, common comorbidities such as diabetes and sleep apnea diagnoses were more often available from claims diagnoses codes (1.6 and 1.4 times, respectively). CONCLUSION: GROUSE provides a unified EHR-claims environment to address health system and federal privacy concerns, which enables investigators to generalize analyses across health systems integrated with multistate insurance claims.

Improving cancer care locally: Study of a hospital affiliate network model.

PURPOSE: The University of Kentucky Markey Cancer Center Affiliate Network (MCCAN) increased access to high-quality cancer care for patients treated in community hospitals across the state by leveraging the American College of Surgeons Commission on Cancer (CoC) standards to improve quality among its member sites. This study describes the network activities and services identified as most helpful or effective to its members, as well as the perceived value of joining MCCAN or pursing accreditation. METHODS: An independent research team conducted in-depth, semistructured interviews with 18 administrators and clinicians from 10 MCCAN hospitals in 2019. Interviews were transcribed and a thematic analysis was conducted. FINDINGS: Network affiliation and CoC accreditation were perceived as helpful to improving quality of care. Having both clinician and administrative champions were key facilitators to achieving CoC standards and made mentoring of member sites a critical activity of the Network. Other components identified as valuable and/or key to the Network's success included providing access to specific CoC-required clinical services (eg, genetic counseling); offering regular performance monitoring and individualized feedback; establishing a culture of quality improvement; and fostering trust within the Network with patient referrals (ie, sending patients back to their local hospital for ongoing care). CONCLUSIONS: Quality improvement in community cancer programs is challenging but several strategies were identified by members as valuable and effective. Efforts to disseminate the MCCAN model should focus on identifying the needs of community hospitals, implementing a quality monitoring system, and fostering site-level champions who can be influential drivers of change.

Surgical Decision-Making Surrounding Contralateral Prophylactic Mastectomy: Comparison of Treatment Goals, Preferences, and Psychosocial Outcomes from a Multicenter Survey of Breast Cancer Patients.

BACKGROUND: Differences in patient characteristics and decision-making preferences have been described between those who elect breast-conserving surgery (BCS), unilateral mastectomy (UM), or contralateral prophylactic mastectomy (CPM) for breast cancer. However, it is not known whether preferred and actual decision-making roles differ across these surgery types, or whether surgery choice reflects a woman's goals or achieves desired outcomes. METHODS: Women diagnosed with stage 0-III unilateral breast cancer across eight large medical centers responded to a mailed questionnaire regarding treatment decision-making goals, roles, and outcomes. These data were linked to electronic medical records. Differences were assessed using descriptive analyses and logistic regression. RESULTS: There were 750 study participants: 60.1% BCS, 17.9% UM, and 22.0% CPM. On multivariate analysis, reducing worry about recurrence was a more important goal for surgery in the CPM group than the others. Although women's preferred role in the treatment decision did not differ by surgery, the CPM group was more likely to report taking a more-active-than-preferred role than the BCS group. On multivariate analysis that included receipt of additional surgery, posttreatment worry about both ipsilateral and contralateral recurrence was higher in the BCS group than the CPM group (both p < 0.001). The UM group was more worried than the CPM group about contralateral recurrence only (p < 0.001). CONCLUSIONS: Women with CPM were more likely to report being able to reduce worry about recurrence as a very important goal for surgery. They were also the least worried about ipsilateral breast recurrence and contralateral breast cancer almost two years postdiagnosis.

Hospital and Surgeon Selection for Medicare Beneficiaries With Stage II/III Rectal Cancer: The Role of Rurality, Distance to Care, and Colonoscopy Provider.

OBJECTIVE: To determine factors associated with rectal cancer surgery performed at high-volume hospitals (HVHs) and by high-volume surgeons (HVSs), including the roles of rurality and diagnostic colonoscopy provider characteristics. SUMMARY OF BACKGROUND DATA: Although higher-volume hospitals/surgeons often achieve superior surgical outcomes, many rectal cancer resections are performed by lower-volume hospitals/surgeons, especially among rural populations. METHODS: Patients age 66+ diagnosed from 2007 to 2011 with stage II/III primary rectal adenocarcinoma were selected from surveillance, epidemiology, and end results-medicare data. Patient ZIP codes were used to classify rural status. Hierarchical logistic regression was used to determine factors associated with surgery by HVH and HVS. RESULTS: Of 1601 patients, 22% were rural and 78% were urban. Fewer rural patients received surgery at a HVH compared to urban patients (44% vs 65%; P < 0.0001). Compared to urban patients, rural patients more often had colonoscopies performed by general surgeons (and less often from gastroenterologists or colorectal surgeons), and lived substantially further from HVHs; these factors were both associated with lower odds of surgery at a HVH or by a HVS. In addition, whereas over half of both rural and urban patients received their colonoscopy and surgery at the same hospital, rural patients who stayed at the same hospital were significantly less likely to receive surgery at a HVH or by a HVS compared to urban patients. CONCLUSIONS: Rural rectal cancer patients are less likely to receive surgery from a HVH/HVS. The role of the colonoscopy provider has important implications for referral patterns and initiatives seeking to increase centralization.

Stage II/III Rectal Cancer Post-Treatment Surveillance Patterns of Care: A SEER- Medicare Study.

Introduction: Despite high rectal cancer recurrence rates, knowledge on post-treatment surveillance utilization is limited. Hence, this study aims to estimate patterns of post-treatment surveillance and determine associated factors. Patients and Methods: Retrospective study of 1,024 SEER-Medicare patients >65 years old diagnosed with stage II/III rectal cancer between 2007-2013. Logistic regression was used to determine factors associated with ≥1 colonoscopy, ≥2 physician visits, ≥2 carcinoembryonic antigen (CEA) tests and ≥2 computed tomographic colonography (CT) within 14 months after primary treatment. Results: Fifty-five percent had ≥1 colonoscopy, 54% had ≥2 physician visits, 47% had ≥2 CEA tests and 20% had ≥2 CTs. In multivariable logistic models, younger age and receipt of chemoradiation therapy (vs none) were significant across all surveillance procedures while clinical factors such as comorbidity were not. Being married (OR=1.69; 95% CI: 1.26-2.26) and proximity to a high-volume hospital (≤15 vs >30 minutes, OR=1.56; 95% CI: 1.00-2.43) were associated with ≥1 colonoscopy. Female gender (OR=1.56; 95% CI: 1.17-2.09), being married (OR=1.56; 95% CI: 1.17-2.08), white race (OR=1.79; 95% CI: 1.23- 2.62) and surgery from high-volume surgeon (OR=1.47; 95% CI: 1.06-2.04) were associated with ≥2 physician visits. Female gender (OR=1.45; 95% CI: 1.08-1.95), being married (OR=1.46; 95% CI: 1.08-1.96) and surgery from high-volume surgeon (OR=1.55; 95% CI: 1.10-2.17) had higher ≥2 CEA tests. Conclusions: Post-treatment surveillance remains low but is more common among younger patients and recipients of chemoradiation. Distinct profiles of patient characteristics and provider volume were associated with individual surveillance procedures suggesting the need for multicomponent strategies to increase surveillance.

Improving the Quality of Cancer Care in Community Hospitals.

BACKGROUND: Cancer patients treated in community hospitals receive less guideline-recommended care and experience poorer outcomes than those treated in academic medical centers or National Cancer Institute-Designated Cancer Centers. The Markey Cancer Center Affiliate Network (MCCAN) was designed to address this issue in Kentucky, the state with the highest cancer incidence and mortality rates in the U.S. METHODS: Using data obtained from the Kentucky Cancer Registry, the study evaluated the impact of patients treated in MCCAN hospitals on four evidence-based Commission on Cancer (CoC) quality measures using a before-and-after matched-cohort study design. Each group included 13 hospitals matched for bed size, cancer patient volume, community population, and region (Appalachian vs. non-Appalachian). Compliance with quality measures was assessed for the 3 years before the hospital joined MCCAN (T1) and the 3 years afterward (T2). RESULTS: In T1, the control hospitals demonstrated greater compliance with two quality measures than the MCCAN hospitals. In T2, the MCCAN hospitals achieved greater compliance in three measures than the control hospitals. From T1 to T2, the MCCAN hospitals significantly increased compliance on three measures (vs. 1 measure for the control hospitals). Although most of the hospitals were not accredited by the CoC in T1, 92% of the MCCAN hospitals had achieved accreditation by the end of T2 compared with 23% of the control hospitals. CONCLUSION: After the MCCAN hospitals joined the Network, their compliance with quality measures and achievement of CoC accreditation increased significantly compared with the control hospitals. The unique academic/community-collaboration model provided by MCCAN was able to make a significant impact on improvement of cancer care. Future research is needed to adapt and evaluate similar interventions in other states and regions.

The relationship between contralateral prophylactic mastectomy and breast reconstruction, complications, breast-related procedures, and costs: A population-based study of health insurance data.

BACKGROUND: Increasingly, women are undergoing contralateral prophylactic mastectomy for the treatment of unilateral breast cancer. The relationship between contralateral prophylactic mastectomy and breast reconstruction, postsurgical complications, additional breast-related procedures, and cost has not received the attention it deserves. METHODS: Data from the New York comprehensive, all-age, all-payer, Statewide Planning and Research Cooperative System were queried to identify patients undergoing unilateral mastectomy or contralateral prophylactic mastectomy from 2008 to 2010. We identified the complications and breast-related procedures within a 2-y follow-up period. Costs of the index operation and subsequent follow-up were estimated. Univariate and multivariate analyses were conducted. RESULTS: Of 12,959 women identified, 10.7% underwent contralateral prophylactic mastectomy. On univariate analysis, contralateral prophylactic mastectomy was positively associated with breast reconstruction, complications, and additional breast-related procedures. Rates of complications were greater for women who had contralateral prophylactic mastectomy (29.5% vs 20.8% for unilateral mastectomy group; P < .001), but not after stratifying by breast reconstruction. Additional breast-related procedures were more common in the contralateral prophylactic mastectomy group than in the unilateral mastectomy group, but only for those who underwent breast reconstruction (82.8% vs 72.1%; P < .001). Unadjusted costs were greater for women with contralateral prophylactic mastectomy than with unilateral mastectomy but did not differ between the groups after adjusting for breast reconstruction and additional breast-related procedures. CONCLUSION: Women who elected contralateral prophylactic mastectomy in this population-based study were more likely to have both breast reconstruction and additional breast-related procedures than women with unilateral mastectomy. The greater rates of complications and costs associated with contralateral prophylactic mastectomy were explained by breast reconstruction and additional breast-related procedures. Surgeons should counsel patients regarding the increased cost and likelihood of undergoing additional, non-complication-related procedures after contralateral prophylactic mastectomy with breast reconstruction.

Exploration of PCORnet Data Resources for Assessing Use of Molecular-Guided Cancer Treatment.

PURPOSE: Examine the ability of PCORnet data resources to investigate molecular-guided cancer treatment. PATIENTS AND METHODS: Patients (N = 86,154) had single primary solid tumors (diagnosed 2013-2017) from hospital oncology registries linked to the PCORnet Common Data Model (CDM) at 11 medical institutions. Molecular and anatomic test procedures and oral and infused therapies were identified with Current Procedural Terminology (CPT) and Healthcare Common Procedure Coding System (HCPCS) codes, RxNorm Concept Unique Identifier, and National Drug Codes from CDM tables. Chart review (2 institutions, n = 213) for advanced colorectal cancer and Medicare claims linkages (7 institutions, n = 1,731) for breast cancer explored options for increasing electronic data capture. RESULTS: Molecular testing prevalence detected via analyte-specific molecular CPT/HCPCS codes was 5.5% (n = 4,784); for the nonspecific anatomic pathology codes, for which only some testing is performed to guide therapy selection, it was an additional 44.8% (n = 38,610). Molecular-guided therapy prevalence was 5% (n = 4,289). Testing and treatment were most common with stage IV disease and varied across cancer types and study institutions (testing, 0%-10.4%; treatment, 0.8%-8.4%). Therapy-concordant test results were found in charts for all 36 treated patients with colorectal cancer at the 2 institutions, 3 (8.3%) of whom received treatment outside the institution. Breast cancer Medicare claims linkage increased rates of identified testing from 62.7%-98.9% and treatment from 3.9%-8.2%. CONCLUSION: Although a minority of patients received molecular-guided therapies, the majority had testing that could guide cancer treatment. Claims data extended electronic data capture for therapies and test orders but often was uninformative for types of test ordered. Test results continue to require text data curation from narrative pathology reports.

Parental Status in Treatment Decision Making among Women with Nonmetastatic Breast Cancer.

Background. Having dependent children may affect cancer treatment decisions. We sought to describe women's surgery and chemotherapy decisions in nonmetastatic breast cancer by parental status. Methods. We conducted a secondary analysis of the 2015 cross-sectional Share Thoughts on Breast Cancer Study, conducted in 7 Midwestern states in the United States, restricted to women of prime parenting age (aged 20-50 years) who consented to the use of their medical records (N = 225). We examined treatment decisions using data visualization and logistic regression (adjusted for age, stage, family history of breast cancer, income, education, race, health insurance, and partner status). Results. Women with dependent children received bilateral mastectomy more often than women without dependent children (adjusted odds ratio 3.09, 95% confidence interval 1.44-6.62).We found no differences in the receipt of chemotherapy by parental status. Women reported more active roles in surgery than in chemotherapy decision making. Conclusions. As a likely factor in cancer treatment decisions, parental status should be addressed in clinical practice and research. Future research should assess patients' sense of ownership in treatment decision making by treatment type.

Incidence and Survival Among Young Women With Stage I-III Breast Cancer: SEER 2000-2015.

BACKGROUND: Although recent findings suggest that de novo stage IV breast cancer is increasing in premenopausal women in the United States, contemporary incidence and survival data are lacking for stage I-III cancer. METHODS: Women aged 20-29 (n = 3826), 30-39 (n = 34 585), and 40-49 (n = 126 552) years who were diagnosed with stage I-III breast cancer from 2000 to 2015 were identified from the Surveillance, Epidemiology, and End Results 18 registries database. Age-adjusted, average annual percentage changes in incidence and 5- and 10-year Kaplan-Meier survival curves were estimated by race and ethnicity, stage, and hormone receptor (HR) status and grade (low to well and moderately differentiated; high to poorly and undifferentiated) for each age decade. RESULTS: The average annual percentage change in incidence was positive for each age decade and was highest among women aged 20-29 years. Increased incidence was driven largely by HR+ cancer, particularly HR+ low-grade cancer in women aged 20-29 and 40-49 years. By 2015, incidence of HR+ low- and high-grade cancer each independently exceeded incidence of HR- cancer in each age decade. Survival for HR+ low- and high-grade cancer decreased with decreasing age; survival for HR- cancer was similar across age decades. Among all women aged 20-29 years, 10-year survival for HR+ high-grade cancer was lower than that for HR+ low-grade or HR- cancer. Among women aged 20-29 years with stage I cancer, 10-year survival was lowest for HR+ high-grade cancer. CONCLUSIONS: HR+ breast cancer is increasing in incidence among premenopausal women, and HR+ high-grade cancer was associated with reduced survival among women aged 20-29 years. Our findings can help guide further evaluation of preventive, diagnostic, and therapeutic strategies for breast cancer among premenopausal women.

Lobar versus sub-lobar surgery for pulmonary typical carcinoid, a population-based analysis.

BACKGROUND: The optimal surgery for resectable pulmonary typical carcinoid (TC), e.g., lobar resection (L-R) vs. sub-lobar resection (SL-R), is controversial. This is further explored in this population-based study. METHODS: The Surveillance, Epidemiology, and End Results (SEER) Program was used to select patients ≥66 years old, and diagnosed between 2000 and 2012 with pulmonary TC. A similar cohort was developed using the SEER-Medicare database (diagnosed from 2000-2007) to identify chemotherapy (CTX) use and co-morbidity. Five-year survival was calculated using univariate and multivariate analysis. RESULTS: A total of 1,506 and 512 patients were identified from SEER and SEER-Medicare, respectively. In the SEER cohort, 49%, 29% and 21% received L-R, SL-R, and no surgery (NS), respectively. Those who received NS were older (P<0.001), had a higher stage (P<0.001), greater comorbidity (P<0.001), and were more likely to receive radiotherapy (XRT) (P<0.001) and CTX (P<0.001). Relative survival was nearly 100% for those who received L-R or SL-R as opposed to 72% for those who received NS (P<0.001). Cox models showed no survival difference for L-R vs. SL-R (HR 1.1, P=0.663), but worse survival for those who received NS vs. L-R or SL-R (HR 3.6, P<0.001). XRT in NS cohort was associated with increased risk of death (HR 2.3, P=0.017). CONCLUSIONS: SL-R was better than NS, and similar to L-R in terms of survival. SL-R should be considered over NS if L-R is unfeasible. Role of adjuvant CTX and XRT is unclear as these did not improve survival in this study.

Impact of vitamin D on pathological complete response and survival following neoadjuvant chemotherapy for breast cancer: a retrospective study.

BACKGROUND: There has been interest in the potential benefit of vitamin D (VD) to improve breast cancer outcomes. Pre-clinical studies suggest VD enhances chemotherapy-induced cell death. Vitamin D deficiency was associated with not attaining a pathologic complete response (pCR) following neoadjuvant chemotherapy (NAC) for operable breast cancer. We report the impact of VD on pCR and survival in an expanded cohort. METHODS: Patients from Iowa and Montpellier registries who had serum VD level measured before or during NAC were included. Vitamin D deficiency was defined as < 20 ng/mL. Pathological complete response was defined as no residual invasive disease in the breast and lymph nodes. Survival was defined from the date of diagnosis to the date of relapse (PFS) or date of death (OS). RESULTS: The study included 327 women. Vitamin D deficiency was associated with the odds of not attaining pCR (p = 0.04). Fifty-four patients relapsed and 52 patients died. In multivariate analysis, stage III disease, triple-negative (TN) subtype and the inability to achieve pCR were independently associated with inferior survival. Vitamin D deficiency was not significantly associated with survival in the overall sample; however a trend was seen in the TN (5-years PFS 60.4% vs. 72.3%, p = 0.3), and in the hormone receptor positive /human epidermal growth factor receptor 2 negative (HER2-) subgroups (5-years PFS 89% vs 78%, p = 0.056). CONCLUSION: Vitamin D deficiency is associated with the inability to reach pCR in breast cancer patients undergoing NAC.